{"id":1805099,"url":"https://alion.io/job/capgemini-salesforce-ai-engineer","title":"Salesforce AI Engineer","company":{"id":145,"name":"Capgemini","domain":"capgemini.com","url":"https://alion.io/company/capgemini","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":80,"open_postings":1730,"ghost_share":0,"stale_share":0.784,"repost_share":0.002,"time_to_fill_p50_days":28,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Enterprise Apps","role_family":"Enterprise Apps","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cardiff, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":37000,"max_usd":89000,"period":"year","method":"role_country_seniority_unknown","sample_n":39},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentforce","optional":false},{"name":"Agile","optional":false},{"name":"Apex","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Copado","optional":false},{"name":"Gearset","optional":false},{"name":"GitHub","optional":false},{"name":"Hallucination","optional":false},{"name":"JavaScript","optional":false},{"name":"Lightning Web Components","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"MuleSoft","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"SOAP","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Embeddings","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-07-21T10:31:07Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-16T22:23:18Z","board_verified":true,"closed_at":null,"days_open":87,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":87},"description":"About the job you're considering\nAs a Salesforce AI Engineer, you'll design, build and ship AI features on the Salesforce platform for some of the world's leading organisations. Working across industries including Consumer Goods, Utilities, Automotive, Telecommunications, and Financial Services, you'll spend most of your time hands-on, building autonomous agents, connecting large language models to enterprise data, and getting AI systems running reliably in production.\nThis is an engineering role, not a configuration one. As Salesforce grows into a serious AI platform, you'll be building with Agentforce, Einstein, Prompt Builder, Model Builder, and Data Cloud to create agents and AI-driven features that hold up under real workloads.\nThe work varies a lot. One day you might be designing an agent's reasoning and actions in Agentforce, the next writing Apex to ground a model in Salesforce data, tuning prompts and retrieval so answers stay accurate, or setting up evaluation harnesses to catch problems before they reach users.\nYour role\nPartner with Salesforce Functional Consultants, Solution Architects, and AI Specialists to design and deliver innovative Salesforce and AI-powered business solutions.\nLeverage Agentforce, Einstein AI, Prompt Builder, Model Builder, and Data Cloud to develop intelligent experiences, autonomous agents, and AI-augmented business processes.\nAct as a Salesforce and AI subject matter expert within the Digital Customer Experience (DCX) practice, helping shape our next-generation consulting capabilities and AI delivery methodologies.\nDesign and develop scalable Salesforce solutions using a combination of declarative and programmatic technologies including Apex, Lightning Web Components (LWC), Flow, JavaScript, Platform Events, and APIs.\nBuild AI-enabled solutions that combine customer, operational, and enterprise data to deliver personalised, predictive, and proactive business experiences.\nIntegrate Salesforce with enterprise systems using MuleSoft, APIs, Event-Driven Architectures, and AppExchange solutions to create connected digital ecosystems.\nUtilise AI-assisted development tools and modern DevOps practices to accelerate delivery, increase quality, and improve developer productivity.\nContribute to continuous innovation by evaluating emerging Salesforce AI capabilities and identifying opportunities to apply them across client engagements.\nSupport Agile delivery teams and champion modern engineering practices using tools such as Gearset, Copado, Flosum, GitHub, Azure DevOps, and CI/CD pipelines.\nEngage directly with client stakeholders, helping them understand how AI, automation, and Salesforce technology can unlock measurable business value.\nWhy You?\nYou'll thrive at the intersection of technology, business consulting, and AI innovation.\nWorking alongside clients, you'll transform and develop ambitious business objectives into practical, scalable Salesforce solutions powered by automation, intelligence, and next-generation AI capabilities. You'll be expected not only to solve today's challenges but to help clients prepare for an increasingly autonomous, AI-driven future.\nWhether you're designing Agentforce agents, building enterprise-grade Salesforce applications, integrating Data Cloud, or advising executives on AI adoption, you'll become a trusted advisor capable of translating complex technology into meaningful business outcomes.\nMost importantly, you'll help shape the future role of the Salesforce consultant-leveraging AI to move beyond configuration and development into strategic solution design, innovation, and business transformation.\nYour skill and experience\nTechnical Expertise\nStrong Salesforce technical experience across one or more core clouds including Sales Cloud, Service Cloud, Experience Cloud, Commerce Cloud, Industries Cloud, or Field Service.\nHands-on experience developing solutions using Apex, Lightning Web Components (LWC), Flow, JavaScript, APIs, and Salesforce integration patterns.\nHands-on experience building with Agentforce, Einstein, Prompt Builder and Model Builder, including designing agent actions, writing and tuning prompts, and grounding models in Salesforce data.\nA working understanding of how large language models behave in practice: prompt engineering, retrieval-augmented generation (RAG), grounding, and how to reduce hallucination.\nExperience testing and evaluating AI features, for example building eval sets, measuring accuracy, and monitoring quality, cost and latency once live.\nKnowledge of enterprise integration approaches, including MuleSoft, event-driven architectures, REST/SOAP APIs, and external system connectivity, including connecting to AI models hosted outside Salesforce.\nExperience building solutions for large-scale environments supporting hundreds or thousands of Salesforce users.\nNice to have: familiarity with the Model Context Protocol (MCP), vector search and embeddings, or Python for AI tooling.\nConsulting & Delivery\nProven experience translating complex business requirements and user stories into scalable technical solutions.\nExperience delivering solutions using Agile methodologies within cross-functional teams of engineers, architects, and business stakeholders.\nThe ability to explain technical and AI concepts clearly to both engineers and non-technical stakeholders.\nExperience collaborating with third-party delivery partners and Salesforce ecosystem vendors.\nSolid grounding in DevOps and modern software engineering practices across the Salesforce delivery lifecycle.\nCertifications & Continuous Learning\nSalesforce Administrator\nPlatform Developer I & II\nJavaScript Developer I\nAI Specialist\nData Cloud Consultant\nSalesforce Consultant Certifications (Sales, Service, Experience, Field Service, etc.)\nAgentblazer Legend\nA genuine appetite for learning, shown through certifications, Trailhead credentials, hands-on Agentforce work, and keeping up with how AI capabilities are moving.\nThe most successful engineers will combine:\nSalesforce platform expertise\nHands-on Agentforce\nData and integration knowledge\nClear technical communication\nAutomation-first thinking\nModern engineering and DevOps practices\nAs Salesforce grows into a serious enterprise AI platform, you'll be the one building the autonomous agents and intelligent features that make it real and setting the standard for how Salesforce AI Engineering is done.\nWe are a Disability Confident Employer\nCapgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government’s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:\n-Declare they have a disability, and\n-Meet the minimum essential criteria for the role.\nPlease opt in during the application process.\nYour security clearance\nTo be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance.\nTo obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements.\nThroughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality.\nSome posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process.\nMake it real - what does it mean for you\nFlexibility to work your way\nYou will be encouraged to have a positive work-life balance. Our hybrid-first way of working means we embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.\nYour wellbeing\nYou’d be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained ‘Mental Health Champions’ across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy.\nImpactful Experiences\nYou will reimagine what’s possible: creating value for the world’s leading organisations through technology to build a sustainable, more inclusive future. You will work with a range of clients all with a unique set of business, technological and societal ambitions, which will make a real impact across the UK.\nShape your path\nYou will be empowered to explore, innovate, and progress. You will benefit from Capgemini’s ‘learning for life’ mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more.\nCapgemini. Make it real.\nWhy you should consider Capgemini\nGrowing clients’ businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you’ll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what’s possible. It’s why, together, we seek out opportunities that will transform the world’s leading businesses, and it’s how you’ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you’ll build the skills you want. You’ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.\nAbout Capgemini\nCapgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. 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